Geospatial Analysis Applied to Mineral Exploration
Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources
- 1st Edition - August 15, 2023
- Latest edition
- Editors: Amin Beiranvand Pour, Mohammad Parsa, Ahmed M Eldosouky
- Language: English
Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources presents state-of-the-art approaches on rec… Read more
Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling for Earth scientists, researchers, mineral exploration communities and mining companies. This book will help readers solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis, and appropriate applications of GIS techniques for data fusion designed for mineral exploration purposes. It contains updated knowledge of remote sensing imagery, geochemistry, geophysics and geospatial techniques that can assist in delineating the signatures and patterns linked to deep-seated, covered, blind or buried mineral deposits.
- Covers advances in remote sensing data processing algorithms and geochemical data analysis
- Includes sections on geophysical data analysis and machine learning algorithms for mineral exploration
- Introduces the suite of geo-spatial tools currently available for mineral exploration
- Presents case studies to provide real-world examples of the theories covered
Mineral exploration and mining industries, national geological societies and survey, and departments of Earth sciences, mining and mineral exploration, remote sensing and GIS, statistics and data science, geoinformatics, geophysics and economic geology
1: Introduction to mineral exploration
1.1. Mineral exploration
1.2. Stages
1.3. GIS toolbox and mineral mapping approaches
1.3.1. Input
13.1.1. Remote sensing
1.3.1.2. Geochemical data
13.1.3. Geophysical results
1.3.1.4. Geological data
1.3.2. Data layer processing
1.3.3. Interpretation
2: Remote sensing for mineral exploration
2.1. Introduction
2.2. Spectral features of hydrothermal alteration minerals and lithologies
2.2.1. Iron oxide minerals
2.2.2. Hydroxyl-bearing minerals and carbonates
2.2.3. Silicate minerals
2.3. Multi-spectral sensors
2.3.1. Landsat data
2.3.2. SPOT data
2.3.3. ASTER data
2.3.4. ALI data
2.3.5. Sentinel-2 MSI data
2.4. Hyper-spectral sensors
2.4.1. Spaceborne sensors
2.4.1.1. Hyperion data
2.4.1.2. PRISMA data
2.4.2. Airborne sensors
2.4.2.1. AVIRIS data
2.4.2.2. HyMap data
2.5. Unmanned Aerial Vehicle (UAV)
2.6. Synthetic Aperture Radar (SAR)
2.6.1. RADARSAT data
2.6.2. JERS-1 SAR data
2.6.3. ERS SAR data
2.6.4. ALOS PALSAR data
2.6.5. Sentinel-1 SAR data
2.7. Data acquisition
2.8. Pre-processing techniques
2.9. Image processing algorithms
2.10. Interpretation of remote sensing data for alteration mineral detection and lithological mapping
2.11. Structural analysis for mineral exploration
2.12. Case studies
3: The GIS toolbox for mineral exploration
3.1. Introduction
3.2. Geographic Information Systems
3.2.1. Descriptive models of mineral deposits
3.2.2. Mineral systems framework
3.3. Numerical techniques used for GIS-based mineral exploration
3.3.1. Conceptual frameworks
3.3.2. Empirical frameworks
3.4. Uncertainties in GIS-based mineral exploration
3.5. Case studies in quantification of uncertainties in GIS-based mineral exploration
4: Processing and interpretation of geochemical data for mineral exploration
4.1. Introduction
4.2. Geochemical sampling media
4.2.1. Rock chip geochemical samples
4.2.2 Soil geochemical samples
4.2.3. Till geochemical samples
4.2.4. Stream sediment geochemical samples
4.3. Analytical techniques applied to geochemical data
4.3.1. Chemical analysis
4.3.2. Quality control
4.4. Interpretation of geochemical data
4.4.1. Compositional data analysis
4.4.2. Techniques used for delineating geochemical anomalies
4.5. Case studies
5: Geophysical data for mineral exploration
5.1. Introduction to geophysical exploration
5.2. Geophysical methods
5.2.1. Gravity methods
5.2.2. Magnetic methods
5.2.3. Magnetotelluric methods
5.2.4. Seismic methods
5.2.5. Radiometric method
5.2.6. Ground penetrating radar (GPR)
5.2.7. Self-potential and induced polarization
5.3. Methodologies, processing and interpretation
5.4. Case studies
6: Geological data for mineral exploration
6.1. Introduction
6.2. Mineral deposits and occurrence
6.3. Geological mapping
6.3.1 Global positioning system (GPS) survey
6.3.2 Lithological mapping
6.3.2.1 Petrography
6.3.2.2 Stratigraphy
6.3.3. Structural mapping
6.3.3.1 Relation between geological structures and ore deposition
6.4. Laboratory analysis
6.4.1 Mineralogy and petrography analysis
6.4.2 X-ray diffraction (XRD) analysis
6.4.3 Analytical Spectral Devices (ASD)
6.5 Accuracy assessment techniques
6.6. Case studies
7: Artificial intelligence and mineral exploration
7.1. Introduction
7.2. Supervised machine learning tools
7.2.1. Problems
7.2.1.1. Data imbalance
7.2.1.2. Bias-variance tradeoff
7.2.2. Solutions
7.2.2.1. Geo-spatial data augmentation
7.2.2.2. Modulating the effects of bias-variance tradeoff
7.2.3. Algorithms
7.2.4. Case study examples
7.3. Unsupervised machine learning tools for mineral exploration
7.3.1. Clustering problems
7.3.2. Dimension reduction problems
7.3.3. Algorithms
7.4. Deep learning and big data analysis
7.5. Case studies in the application of artificial intelligence for GIS-based mineral exploration
- Edition: 1
- Latest edition
- Published: August 15, 2023
- Language: English
AP
Amin Beiranvand Pour
Amin Beiranvand Pour is an associate professor in University Malaysia Terengganu (UMT), currently. He was post-doctoral researcher and senior lecturer (Assistant Professor) in Geoscience and Digital Earth Centre (INSTeG) at University Technology Malaysia (UTM) from 2013 to 2016 and researcher in Korea Polar Research Institute (KOPRI) from 2017 to 2020. He earned B.Sc. and M.Sc. in geology and economic geology from Shiraz University, Iran. He received his Ph.D. in remote sensing with specialty in mineral exploration from University Technology Malaysia (UTM) in 2012. He was project Leader of several mineral exploration projects using satellite remote sensing technology in arid and semi-arid terrains, Antarctic, Arctic and tropical environments. Dr. Beiranvand Pour is one the most dynamic researchers in the field of mineral exploration using remote sensing data and has published over 150 research papers since 2011. Presently, he is conducting several Special Issues in remote sensing, minerals and mining journals covering remote sensing techniques for mineral exploration.
Affiliations and expertise
Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu (UMT), Terengganu, MalaysiaMP
Mohammad Parsa
Dr. Mohammad Parsa is an exploration geologist with expertise in exploration geochemistry and GIS-based mineral prospectivity mapping. He received his Ph.D. in mineral exploration Engineering from the Amirkabir University of Technology in 2018. Currently, he is working as a postdoc fellow for the University of New Brunswick, Canada. He has published about 20 peer-reviewed papers in the fields of geochemistry and mineral exploration. He also has reviewed many peer-reviewed publications for prestigious journals. Currently, he is serving as the guest editor for some special issues, including special issues in the Journal of Geochemical Exploration, Minerals, and Mining.
Affiliations and expertise
Department of Earth Sciences, University of New Brunswick, CanadaAM
Ahmed M Eldosouky
Dr. Ahmed M. Eldosouky is a doctor (Ph.D.) in theoretical and applied geophysics in the Geology Department, Suez University, currently. He was the head of Dababiya Protectorate, Nature Conservation Sector, Egyptian Environmental Affairs Agency (E.E.A.A.) From 2012 to 2016. He earned B.Sc. and M.Sc. in geophysics from South Valley University, Egypt. He received his Ph.D. in geophysics and remote sensing with a specialty in using geophysics for mineral exploration from South Valley University, Egypt in 2017. He was team Leader of many geophysical projects concerns with introducing new and novel methods for edge detection of potential field data, solid earth geophysics and using geophysics and satellite remote sensing data in mineral exploration. Dr. Ahmed M. Eldosouky is one of the most active researchers in the field of theoretical and applied geophysics and mineral exploration. Dr. Ahmed M. Eldosouky has published over 30 research papers and contributed to many book chapters. He has reviewed many peer-reviewed papers for prestigious journals.
Affiliations and expertise
Geology Department, Faculty of Science, Suez University, Suez, EgyptRead Geospatial Analysis Applied to Mineral Exploration on ScienceDirect